Data Engineer III - Data Engineering

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Primary Duties & Responsibilities: ​

• Apply advanced statistical, computational, and analytical methodologies to generate insights that enhance healthcare quality, patient experience, and overall cost efficiency.
• Identify relevant internal and external data sources, including emerging data streams such as sensor and smart‑meter data, geo‑location, and social media.
• Integrate, analyze, and interpret business‑level data from multiple systems, while building mechanisms to explore structured, semi‑structured, and unstructured datasets.
• Design and implement scalable, efficient, and automated processes for large‑scale data analysis, predictive model development, validation, and operational deployment.
• Manipulate, combine, and refine large datasets to prepare analysis‑ready data, ensuring data quality, performing feature engineering, and driving continuous data improvement initiatives.
• Monitor and analyze complex systems to diagnose issues and continuously optimize key performance indicators.
• Support the development and publication of analytics‑ready datasets to enable creation of dashboards, statistical models, and analytical deliverables.
• Provide end‑to‑end support on data‑related solutions—including data design, ingestion, aggregation, and consumption—for internal stakeholders and external clients.
• Develop algorithms and write efficient code for data processing and advanced analytics.
• Create experimental design frameworks to validate analytical findings or test hypotheses using statistically robust methodologies.
• Identify data issues, conduct root‑cause research, recommend corrective actions, and interpret trends and patterns across large, complex datasets.
• Collaborate with client‑facing teams to understand business requirements and develop tailored analytical or data engineering solutions.
• Support leadership with process improvement, team coordination, and conflict management activities.
• Research and integrate best practices for identifying data sources, conducting analysis, and improving analytical methodologies.
• Explore analytical approaches for complex business problems and execute solutions based on sound analytical strategies.
• Conduct research on industry trends, techniques, and data partnerships; evaluate findings to recommend enhancements to existing processes or the development of new ones.

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Work Experience:

• Over 8 years of experience in data analytics and data visualization, with a strong ability to derive meaningful insights from complex datasets.
• Proficient in integrating, analyzing, and interpreting business‑level data from multiple sources, and creating mechanisms to explore structured, semi‑structured, and unstructured data.
• Experienced in leading the design, development, and support of advanced data engineering solutions using Azure Databricks and Azure Synapse.
• Hands-on expertise with Azure Synapse, Azure Databricks, Power BI, and SQL for building enterprise‑grade data solutions.
• Strong capability in developing robust data pipelines using Azure Data Factory (ADF) and Informatica, integrating data from diverse systems.
• Skilled in SQL and handling large datasets, ensuring high performance and optimized data processing.
• Domain knowledge across Finance, Distribution, and Master Data Management (MDM).
• Strong understanding of Lakehouse architecture, including Medallion Architecture (Bronze, Silver, Gold layers) to build scalable and well‑structured data systems.

Educational Qualification:

• Bachelor’s Degree in Statistics, Computer Science, Information Technology, or a related discipline (or equivalent relevant experience).

  
  

Preferred Certifications:

• Databricks Data Engineering
• DP 203/Microsoft Data Engineering certifications

Skills & Knowledge:

Behavioral Skills:
•    Critical Thinking
•    Detail Oriented
•    Impact and Influencing
•    Interpersonal Communication
•    Multitasking
•    Problem Solving
•    Time Management

Technical Skills:
•    Advanced Data Visualization Techniques
•    Advanced Statistical Analysis
•    Big Data Analysis Tools and Techniques
•    Data Governance
•    Data Management
•    Data Modelling
•    Data Quality Assurance
•    Programming languages like SQL, R, Python

Tools Knowledge:
•    Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense
•    Data Visualization Tools
•    Microsoft Office Suite
•    Statistical Analytics tools (SAS, SPSS3)

​Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned